Clustering of Triangle Fuzzy Number with Multiple Attributes
This paper investigates the cluster problems of which both the characteristic values and weights of indices are triangular fuzzy numbers. A new maximal tree clustering analysis method is proposed. First, several operational laws of two triangular fuzzy numbers are given. Next, the similarity coefficient is generalized to the triangular fuzzy numbers. Then an clustering algorithm for multiple attribute information based on triangular fuzzy numbers is presented. Finally, a numerical example is demonstrated to illustrate the applications of the new clustering method as proposed.
fuzzy clustering analysis fuzzy set triangular fuzzy numbers mazimal tree clustering method
Wang Xin-chang Xiao Xin-ying
School of Information Technology, Jiangxi University of Finance & Economics, Nanchang, 330013,China School of Foreign Languages, Jinggangshan University, Jian, 343009, China
国际会议
南昌
英文
197-200
2009-09-01（万方平台首次上网日期，不代表论文的发表时间）